2018Unpublished venueOpen access

Detecting and managing code smells

Tushar Sharma

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Abstract

Code smells indicate the presence of quality problems that make the software hard to maintain and evolve. A software development team can keep their software maintainable by identifying smells and refactor them. In the first part of the session, we present a comprehensive overview of the literature concerning smells covering various dimensions of the metaphor including defining characteristics, classification, types, as well as causes and impacts of smells. In the second part, we delve into the details of smell detection methods prevailed currently both in research prototypes and industrial tools. The final part present actionable and pragmatic strategies for practitioners to avoid, detect, and eradicate smells from their codebase.

About this research paper

What this paper is about

Code smells indicate the presence of quality problems that make the software hard to maintain and evolve. A software development team can keep their software maintainable by identifying smells and refactor them. In the first part of the session, we present a comprehensive overview of the literature concerning smells covering various dimensions of the metaphor including defining characteristics, classification, types, as well as causes and impacts of smells. In the second part, we delve into the details of smell detection methods prevailed currently both in research prototypes and industrial tools. The final part present actionable and pragmatic strategies for practitioners to avoid, detect, and eradicate smells from their codebase.

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Available abstract

Code smells indicate the presence of quality problems that make the software hard to maintain and evolve. A software development team can keep their software maintainable by identifying smells and refactor them. In the first part of the session, we present a comprehensive overview of the literature concerning smells covering various dimensions of the metaphor including defining characteristics, classification, types, as well as causes and impacts of smells. In the second part, we delve into the details of smell detection methods prevailed currently both in research prototypes and industrial tools. The final part present actionable and pragmatic strategies for practitioners to avoid, detect, and eradicate smells from their codebase.

Key concepts: Code smell, Computer science, Code (set theory), Programming language, Software quality, Software, Software development, Set (abstract data type)

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